A machine learning-based image segmentation method to quantify in vitro osteoclast culture endpoints

Davies, Bethan; Hibbert, Andrew; Roberts, Scott; Roberts, Helen; Tickner, Jennifer; Holdsworth, Gill; Arnett, Tim; Orriss, Isabel

doi:10.1007/s00223-023-01121-z

A machine learning-based image segmentation method to quantify in vitro osteoclast culture endpoints

Davies, Bethan; Hibbert, Andrew; Roberts, Scott; Roberts, Helen; Tickner, Jennifer; Holdsworth, Gill; Arnett, Tim; Orriss, Isabel

Authors

Bethan Davies

Andrew Hibbert

Scott Roberts

Helen Roberts

Jennifer Tickner

Gill Holdsworth

Tim Arnett

Isabel Orriss

Citation

Davies, B., Hibbert, A., Roberts, S., Roberts, H., Tickner, J., Holdsworth, G., Arnett, T., & Orriss, I. (in press). A machine learning-based image segmentation method to quantify in vitro osteoclast culture endpoints. Calcified Tissue International, https://doi.org/10.1007/s00223-023-01121-z

Journal Article Type	Article
Acceptance Date	Jul 29, 2023
Online Publication Date	Aug 11, 2023
Deposit Date	Jul 31, 2023
Publicly Available Date	Aug 14, 2023
Journal	Calcified Tissue International
Print ISSN	0171-967X
Electronic ISSN	1432-0827
Publisher	Springer
Peer Reviewed	Not Peer Reviewed
DOI	https://doi.org/10.1007/s00223-023-01121-z